pyportfolios.com
The Future of Finance
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Master the intersection of coding power and understanding of markets.
We are blending deep technical rigor, real-world application, & visual
clarity to make your journey happen.
Coding
Trading
Markets
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01. Our Focus
Quant theory, Python practice and Trading implementation
Your Online educational and content platform focusing on applied coding and Python programming for quantitative finance and algorithmic trading
Coding.
Attention to Detail
- High-level concepts and academic rigor
- Top notch codes and Python implementations made simple
- Use of latest ML and LLM AI engines
Trading.
The Big Picture
- Portfolio diversification and rebalancing
- Bridging the gap between quant finance and capital markets
- Algorithmic execution and Backtesting
Markets.
Connecting the Dots
- Real world market data across asset classes
- Proven trading ideas and portfolio optimization concepts
- State of the art Quant Finance applications
02. Libraries
Best in Class Libraries
Key features
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Set up in under an hour.
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Seamlessly connects with your existing support channels like tickets, email, live chat, and more.
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Follows your existing assignment rules, automations, and reporting.
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Escalates to agents in your preferred inbox.
Access our curated data sets, code snippets, and concept reference guides.With the Python Quant Stack, we showcase everything you need to code confidently and trade smartly.
Quant Stack
03. Markets
Instruments, Asset Classes and Sectors
Asset classes
Equities [Stocks & Indices]
Fixed Income
FX
Commodities
Derivatives [Futures, Options]
Real Estate & Infra-structure
Crypto
Equities [Stocks & Indices]
Fixed Income
FX
Commodities
Derivatives [Futures, Options]
Real Estate & Infra-structure
Crypto
Sectors:
Energy, Healthcare, Industrials, Utilities, IT, Materials, Consumer Discretionary, Consumer Staples, Financials, Telecom, Real Estate
Country indices:
USA S&P500/NASDAQ100, Germany DAX, Australia S&P ASX200, France CAC40, South Korea KOSPI, UK FTSE100, Italy FTSE MIB, Japan NIKKEI 225, Canada S&P TSX, Spain IBEX 35, Brazil BOVESPA, China SSE COMP, India BSE 30, Mexico S&P/BMV IPC, Russia MOEX
04. Geographies
Examples include assets and securities from the top 15 largest economies and key devloped and devloping market
05. Concepts
Applied Science. Empirical Studies. Invaluable Insights.
Risk Management
- ▸Value-at-Risk (VAR)
- ▸Conditional Value-at-Risk (CVAR)
- ▸Monte Carlo Simulation
- ▸Time Series Analysis
- ▸Copulas
Python
Market Data
& AI
Algorithmic Trading
- ▸Strategy development and metrics
- ▸Mean Reversion Strategies
- ▸Trend Following Strategies (MA Crossover)
- ▸Backtesting
Finance Fundamentals
- ▸Bond pricing
- Bond valuation
- Yield to maturity
- Modified & Macaulay Duration
- ▸Derivatives pricing/li>
- Black-Scholes-Merton Model
- Implied volatility
- Option Greeks
15
key economies
30+
Exchanges
7
asset classes
Portfolio Optimization
- ▸ Minimum Variance Portfolio
- ▸Min CVAR Optimization
- ▸Black-Litterman Model
- ▸Ledoit Wolf Shrinkage Estimators
Start Your Journey Today
Join the next generation of finance professionals who code. Transform your career today.
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